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"Tugas akhir ini membahas tentang suatu operator baru dalam database, yaitu Disaggregasi. Disaggregasi bersama-sama dengan tiga operator lainnya ( fungsi matching, kartesian produk dan seleksi ) menghasilkan family family dengan struktur yang makin bertambah rumit. Khususnya, family-fanily yang didefinisikan dengan one-join dependency dan beberapa "embedded" fungsional dependencies."

"Dalam skripsi dibahas pembangunan perangkat lunak BMS {Benefit Monitoring System) dengan menggunakan pendekatan obyek. BMS merupakan subsistem dari sistem perangkat lunak BME {Benefit Monitoring and Evaluation System) yang digunakan pada kegiatan SPLPT (Studi Pengembangan Beberapa Lembaga Pendidikan Tinggi) di Indonesia . Pelaksanaan pendekatan obyek dilakukan melalui tahapan analisis dan disain pendekatan obyek (OOA-&-OOD) pada BMS. Kemudi^ hasil-hasil yang diperoleh dirubah dalam bentuk basis data hirarki. Dari langkah-langkah tadi ditinjau pengaruh pendekatan objek tersebut dalam pembuatan basis data BMS khususnya, serta perangkat lunak BMS secara keseluruhan. Dalam hal ini didapat basil pendekatan obyek sangat memudahkan dan efektif dalam memahami ruang lingkup persoalan, menentukan jenis dan membentuk basis data yang memenuhi karakteristik sistem BMS, temyata basis data hirarki cukup memenuhi. Pada pendekatan obyek ini harus dilihat besamya ruang lingkup persoalan sistem, oleh karena untuk permasalahan yang kecil/sederhana pendekatan obyek tidak efektif."

"Information on product prices is one of the things that is often disturbed by society because information about product prices is frequently different among sellers. Whereas the government has made information disclosure in the form of a standard price of a product that aims to reduce price differences among sellers but it cannot be denied that there are several factors that make the price of products different. For example regional factors, transportation, or limited stock. When the community has obtained price information from the government, the public can compare prices on the market. However, the disclosure of information from the government regarding the standard up-to-market price of products on the market is still through internet. Internet media cannot be fully accessed by all people, especially rural communities who still have remote areas such as Gadungan village in Kediri regency. This research was conducted as an alternative technology to facilitate information disclosure of product prices. The method used in this study is action reseach. In this research phase, researchers used the gateway service technology service with a functional PostgreSQL database. The results on usability testing showed that the average score was 88.3%. Application testing results obtained from the application effectiveness level in the range of 89%, the application effectiveness level in the range of 90% and on application satisfaction in the range of 86%. The use of the application is expected to help the public in getting more varied pricing information so as to achieve perfect price competition."

"Tujuan dari pengembangan proyek Automatic Indonesian News Generation System (AINGS) adalah untuk mengoptimalkan proses penyuntingan dan pengiriman berita di era digital, dengan fokus khusus pada aspek usability layanan web dan efisiensi basis data. Proses pengembangan dimulai dengan pemetaan kebutuhan fungsional sistem de ngan fitur yang akan diimplementasi. Kebutuhan fungsional sistem mencakup pengelo laan draf berita, pembuatan draf berita dan validasi draf berita secara otomatis serta komu nikasi antara redaktur dan wartawan. Implementasi fitur diwujudkan dengan layanan web berupa REST API yang terintegrasi dengan basis data serta layanan web machine learn ing. Perancangan basis data dilakukan dengan melibatkan identifikasi empat entitas utama dan identifikasi hubungan antar entitas. Pengembangan basis data dilanjutkan dengan melakukan normalisasi hingga Third Normal Form (3NF) untuk memastikan konsistensi dari data yang disimpan serta efisiensi dalam waktu pemrosesan. Selain itu, dilakukan im plementasi Elasticsearch dan performanya dibandingkan dengan PostgreSQL dalam hal waktu pemrosesan untuk pencarian draf berita. Evaluasi layanan web dilakukan dengan melakukan integration testing dan evaluasi usability menggunakan heuristik. Hasil inte gration testing menunjukan layanan web lulus semua skenario tes dan mampu memenuhi seleuruh kebutuhan fungsional sistem. Berdasarkan hasil evaluasi heuristik, layanan web yang dikembangkan mencapai nilai metrik knowability (96.49%) dan robustness (100.00%) yang baik namun untuk metrik operability (84.07%) dan efficiency (83.33%) dapat ditingkatkan dengan memberikan opsi format data pada request dan menerapkan caching. Hasil evaluasi basis data menunjukan bahwa normalisasi pada tahap Second Normal Form (2NF) memberikan waktu pemrosesan yang lebih optimal dengan tetap memastikan konsistensi data yang terjaga. Rata-rata waktu pemrosesan yang dihasilkan oleh tahap 2NF adalah 1,712ms, sedangkan pada tahap 3NF mencapai 3,363ms. Semen tara itu, penerapan Elasticsearch meningkatkan kinerja pencarian sehingga menghasilkan waktu pemrosesan yang lebih cepat. Menggunakan kata kunci pencarian ”Jakarta”, Elas ticsearch dapat memproses permintaan hanya dalam waktu 8ms, sementara PostgreSQL membutuhkan waktu hingga 142,943ms

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The objective of developing the ”Automatic Indonesian News Generation System” (AINGS) project is to optimize the editing and delivery process of news in the digital era, with a particular focus on the usability of web services and the efficiency of the database. The development process begins with mapping the system’s functional requirements to the features to be implemented. The functional requirements of the system include man aging news drafts, creating news drafts, and validating news drafts automatically, as well as communication between editors and reporters. The feature implementation is real ized through a web service in the form of a REST API integrated with a database and machine learning web services. The database design involves identifying four main en tities and the relationships between them. The database development is continued with normalization up to the Third Normal Form (3NF) to ensure consistency of the stored data and efficiency in processing time. Additionally, Elasticsearch is implemented, and its performance is compared with PostgreSQL in terms of processing time for searching news drafts. The web service evaluation is carried out by conducting integration testing and usability evaluation using heuristics. The integration testing results show that the web service passes all test scenarios and meets all the system’s functional requirements. Based on the heuristic evaluation results, the developed web service achieves good met rics in knowability (96.49%) and robustness (100.00%), but for operability (84.07%) and efficiency (83.33%) metrics, improvements can be made by providing data format options in requests and implementing caching. The database evaluation results show that normal ization at the Second Normal Form (2NF) stage provides more optimal processing time while ensuring data consistency. The average processing time produced by the 2NF stage is 1,712ms, while at the 3NF stage, it reaches 3,363ms. Meanwhile, the implementation of Elasticsearch enhances search performance, resulting in faster processing times. Us ing the search keyword ”Jakarta,” Elasticsearch can process requests in just 8ms, while PostgreSQL requires up to 142,943ms."

"Tujuan dari pengembangan proyek Automatic Indonesian News Generation System (AINGS) adalah untuk mengoptimalkan proses penyuntingan dan pengiriman berita di era digital, dengan fokus khusus pada aspek usability layanan web dan efisiensi basis data. Proses pengembangan dimulai dengan pemetaan kebutuhan fungsional sistem de ngan fitur yang akan diimplementasi. Kebutuhan fungsional sistem mencakup pengelo laan draf berita, pembuatan draf berita dan validasi draf berita secara otomatis serta komu nikasi antara redaktur dan wartawan. Implementasi fitur diwujudkan dengan layanan web berupa REST API yang terintegrasi dengan basis data serta layanan web machine learn ing. Perancangan basis data dilakukan dengan melibatkan identifikasi empat entitas utama dan identifikasi hubungan antar entitas. Pengembangan basis data dilanjutkan dengan melakukan normalisasi hingga Third Normal Form (3NF) untuk memastikan konsistensi dari data yang disimpan serta efisiensi dalam waktu pemrosesan. Selain itu, dilakukan im plementasi Elasticsearch dan performanya dibandingkan dengan PostgreSQL dalam hal waktu pemrosesan untuk pencarian draf berita. Evaluasi layanan web dilakukan dengan melakukan integration testing dan evaluasi usability menggunakan heuristik. Hasil inte gration testing menunjukan layanan web lulus semua skenario tes dan mampu memenuhi seleuruh kebutuhan fungsional sistem. Berdasarkan hasil evaluasi heuristik, layanan web yang dikembangkan mencapai nilai metrik knowability (96.49%) dan robustness (100.00%) yang baik namun untuk metrik operability (84.07%) dan efficiency (83.33%) dapat ditingkatkan dengan memberikan opsi format data pada request dan menerapkan caching. Hasil evaluasi basis data menunjukan bahwa normalisasi pada tahap Second Normal Form (2NF) memberikan waktu pemrosesan yang lebih optimal dengan tetap memastikan konsistensi data yang terjaga. Rata-rata waktu pemrosesan yang dihasilkan oleh tahap 2NF adalah 1,712ms, sedangkan pada tahap 3NF mencapai 3,363ms. Semen tara itu, penerapan Elasticsearch meningkatkan kinerja pencarian sehingga menghasilkan waktu pemrosesan yang lebih cepat. Menggunakan kata kunci pencarian ”Jakarta”, Elas ticsearch dapat memproses permintaan hanya dalam waktu 8ms, sementara PostgreSQL membutuhkan waktu hingga 142,943ms

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The objective of developing the ”Automatic Indonesian News Generation System” (AINGS) project is to optimize the editing and delivery process of news in the digital era, with a particular focus on the usability of web services and the efficiency of the database. The development process begins with mapping the system’s functional requirements to the features to be implemented. The functional requirements of the system include man aging news drafts, creating news drafts, and validating news drafts automatically, as well as communication between editors and reporters. The feature implementation is real ized through a web service in the form of a REST API integrated with a database and machine learning web services. The database design involves identifying four main en tities and the relationships between them. The database development is continued with normalization up to the Third Normal Form (3NF) to ensure consistency of the stored data and efficiency in processing time. Additionally, Elasticsearch is implemented, and its performance is compared with PostgreSQL in terms of processing time for searching news drafts. The web service evaluation is carried out by conducting integration testing and usability evaluation using heuristics. The integration testing results show that the web service passes all test scenarios and meets all the system’s functional requirements. Based on the heuristic evaluation results, the developed web service achieves good met rics in knowability (96.49%) and robustness (100.00%), but for operability (84.07%) and efficiency (83.33%) metrics, improvements can be made by providing data format options in requests and implementing caching. The database evaluation results show that normal ization at the Second Normal Form (2NF) stage provides more optimal processing time while ensuring data consistency. The average processing time produced by the 2NF stage is 1,712ms, while at the 3NF stage, it reaches 3,363ms. Meanwhile, the implementation of Elasticsearch enhances search performance, resulting in faster processing times. Us ing the search keyword ”Jakarta,” Elasticsearch can process requests in just 8ms, while PostgreSQL requires up to 142,943ms."

"Penelitian ini dilatarbelakangi kompleksnya kendala yang dihadapi Divpropam Polri dalam implementasi inovasi Database Management System (DMS) yang merupakan hibah dari pemerintahan Amerika Serikat. Bahkan, pada awal tahun 2024, inovasi ini sempat terhenti karena permasalahan sistem serta tidak adanya dukungan anggaran DIPA. Berdasarkan kondisi tersebut, maka penelitian ini ditujukan untuk mengetahui pengembangan inovasi ”Database Management System (DMS) Divpropam Polri” serta faktor-faktor penghambatnya. Pisau analisis dalam penelitian ini adalah teori inovasi, konsep pengembangan inovasi, teori sistem, teori New Public Services, teori teknologi informasi. Jenis penelitian ini adalah studi kasus, dan metode penelitian penelitian ini adalah metode kualitatif. Hasil penelitian ini menunjukkan bahwa desain pengembangan inovasi "Database Management System (DMS) Divpropam Polri” dilakukan melalui tiga tahap. Pertama, proses inisasi dari berpikir kreatif, menawarkan konsep rancangan dan pengambilan keputusan oleh pimpinan. Kedua, implementasi dimulai dengan membentuk kelompok kerja berbasis kompetensi, penyusunan instrument pendukung, pengaturan sumber daya manusia, operasionalisasi dan sosialisasi serta pengawasan dan analisa secara berkala. Ketiga, proses kontinuasi dilandaskan pada semangat untuk meningkatkan kinerja dan pelayanan publik serta untuk mewujudkan satu data Polri. Untuk faktor penghambat inovasi Database Management System (DMS) antara lain sosialisasi yang belum maksimal, tidak adanya dukungan anggaran operasional dan perawatan, keterbatasan kompetensi personel tingginya intensitas gangguan teknis serta kurangnya motivasi pimpinan untuk reward and punishment. Adapun untuk faktor pendukung meliputi program Polri Presisi, program satu data Polri, komitmen kuat jajaran pimpinan Divpropam Polri dalam peningkatan kapabilitas sumber daya pelayanan dan penanganan pengaduan penyimpangan anggota Polri, fungsi pengendalian kegiatan kepolisian yang terstruktur dan dukungan teknologi kepolisian yang terus berkembang di era police 4.0.

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This research was motivated by the complex obstacles faced by the National Police Division in the implementation of Database Management System (DMS) innovation which is a grant from the United States government. In fact, at the beginning of 2024, this innovation was stopped due to system problems and the absence of DIPA budget support. Based on these conditions, this study is intended to determine the development of Database Management System (DMS) innovations of the National Police Divpropam and its inhibiting factors. The analysis knife in this study is innovation theory, innovation development concept, systems theory, New Public Services theory, information technology theory. This kind of research is a case study, and this research method is a qualitative method. The results of this study show that the design of the Database Management System (DMS) innovation development of the National Police Divpropam is carried out through three stages. First, the process of initiation of creative thinking, offering concepts of design and decision making by the leadership. Second, implementation begins with establishing competency-based working groups, preparing supporting instruments, regulating human resources, operationalization and socialization as well as periodic supervision and analysis. Third, the continuity process is based on the spirit to improve public performance and services and to realize one National Police data. The inhibiting factors of Database Management System (DMS) innovation include socialization that has not been maximized, the absence of operational and maintenance budget support, limited personnel competence, the high intensity of technical disturbances, and the lack of leadership motivation for reward and punishment. Supporting factors include the Precision Police program, the National Police's one data program, the strong commitment of the leadership of Divpropam Polri in increasing the capability of service resources and handling complaints of irregularities by members of the Police, structured police activity control functions and police technology support which continues to develop in the police 4.0 era."

"Molecular biology is advancing through the protein - protein interaction studies. Its wet experiment has generated a massive amount of data. Bioinformatics was set up for converting those data into useful information. Protein - protein interaction wet experiment was a long and expensive labors. Bioinformatics are here to remedy those labors. Online experiments in protein - protein interaction database are possible.. The available databases are InterPare, ClusPro and PROTORP. InterPare is an open and public database server for protein interaction interface information. ClusPro is an algoritm for filtering docked protein conformations, and rank them. PROTORP is a database that can be used to calculate a series of physical and chemical parameters of the protein interaction sites that contribute to the binding energy of the association. The online databases are useful tools for aiding the wet laboratory protein - protein interaction experiment."