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All Journal Techno.Com: Jurnal Teknologi Informasi Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Syntax Literate: Jurnal Ilmiah Indonesia CogITo Smart Journal EKONOMIS : Journal of Economics and Business Jurnal Sisfokom (Sistem Informasi dan Komputer) Technomedia Journal JURNAL PENDIDIKAN TAMBUSAI Aptisi Transactions on Technopreneurship (ATT) JSI (Jurnal sistem Informasi) Universitas Suryadarma Journal of Applied Engineering and Technological Science (JAETS) JISA (Jurnal Informatika dan Sains) Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Abditeknika - Jurnal Pengabdian Kepada Masyarakat Kresna: Jurnal Riset dan Pengabdian Masyarakat Journal of Integrated and Advanced Engineering (JIAE) Jurnal Sisfotek Global Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Telematika MKOM Artinara INOVTEK Polbeng - Seri Informatika
Samidi Samidi
Magister Ilmu Komputer, Fakultas Teknologi Informasi, Universitas Budi Luhur, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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Decision Support System to Select the Best Customers Using Analytical Hierarchy Process (AHP) Methods, Simple Additive Weighting (SAW) Methods, Weight Aggregated Sum Product Assessment Methods (WASPAS) at the Kebaya Shop Syafran Nurrahman; Gatot Tri Pranoto; Tjahjanto Tjahjanto; Samidi Samidi
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1317

Abstract

Style Queen Kebaya Store (SQ Kebaya) is a store that is engaged in apparel, its product sales focus includes adult and children's kebaya. The negative impact of the Covid 19 Pandemic has proven that the Store (SQ Kebaya) has experienced a decline in sales turnover in 2020, therefore the SQ Kebaya Store's efforts to restore its sales activities are by giving gifts for customer appreciation during the COVID 19 season through selecting the best customers for the 2020 period. However, the problem faced by SQ Kebaya Stores in the process of evaluating the best customer selection is that there is no criterion weight so that the decision making is not right on target, making the best customer decisions less efficient because they have to look for customer sales records manually in the sales record book. This study produces a web-based decision support system for selecting the best customers at SQ Kebaya Stores using the AHP (criteria weight), SAW and WASPAS (best customer ranking) methods, this study produces priority weights and importance levels of each criterion, namely status (0.37 ), method of payment (0.23), total spending (0.14), quantity (0.13), intensity of visits (0.07), length of subscription (0.07) and the result of ranking the percentage of the largest alternative value is the alternative SAW method with an average of 0.6952 , while the WASPAS method is 0.6405. It can be concluded that the right method used to obtain the best alternative value is the SAW method.  
DATA WAREHOUSE MODEL BASED ON KIMBALL METHODOLOGY TO SUPPORT DECISION MAKING IN ASSET MAINTENANCE Vasthu Imaniar Ivanoti; Muhammad Royani; Samidi Samidi
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.628

Abstract

ITSM e-Prime is an ICT service management application based on ITSM framework owned by Pusintek that includes service desk, incident management, problem management, change management, release management, and configuration management processes. Currently there is a problem in determining the number of devices that will be included in the device maintenance contract or determining the number of devices that need to be replaced in a given year. The objective of this research is to build an asset management data warehouse so that it can be utilized by the Data Analysis and Presentation Team to produce a dashboard that presents data on network infrastructure assets that need to be maintained or replaced for budget planning needs. This descriptive verification analysis research used nine out of ninety tables from the ITSM e-Prime application and applied dimensional modeling Kimball to build a data warehouse because this methodology offers high query performance and understandable by end-user. The resulting data warehouse were tables in the form of star-schema. The tests were carried out by qualitative methods, namely quality testing by users (user acceptance test and blackbox testing) and quantitative method, namely comparing the number of infrastructure devices included in the maintenance contract in 2022. The final result of this research is a data warehouse consisting of fact table F_infrastructure and dimension table D_Merk, D_Area, D_Kategori, D_EoS, D_Garansi, and D_StatusPemeliharaan with acceptance percentage of 95% based on the test results.
COMPARATION OF DISTRIBUTED DATABASE MODEL BY CLUSTERING METHOD IN E-GOVERNMENT SYSTEM. STUDY AT KEMENKEU RI Adinda Krida Wicaksono; Fauzie Nurrakhman; Samidi Samidi
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.629

Abstract

MySQL is one of the most popular open source database in the world based on its performance, its reliability, and its easiness that has been proved. MySQL is categorized into community version and commercial version. The commercial version has standalone architecture models and clusters.Database Clustering is one of distributed database model. The case study used is Kemenkeu Learning Center (KLC) Application which is an e-government application in Ministry of Finance. KLC application used for interactive learning media for all ASN especially ASN in Ministry of Finance. This makes the KLC application being categorized into a very high critical application, so it takes a good response time and has high availability. One of the most important factors to fulfill this need is by deciding the appropriate MySQL database architecture for KLC application. This research was conducted by creating 3 (three) database architecture models according to best practice from MySQL, namely the Standalone architecture model, InnoDB Cluster and NDB Cluster. Then tested with several different scenarios to get results in the form of response time and percentage of errors that indicate high availability capabilities. The tools used in testing are Apache JMeter. From the test results, it is found that the MySQL NDB Cluster is the right database architecture model in an effort to realize the need for database services with the best response time and high availability capabilities.
PROTOTIPE KNOWLEDGE MANAGEMENT SYSTEM (KMS) PRAKTIKUM PERBANKAN SYARIAH BERBASIS WEB DAN ANDROID DENGAN KERANGKA KERJA “TIWANA” PADA PERGURUAN TINGGI: STUDI KASUS STEI SEBI Nazori Agani; Samidi Samidi; Wirda Hilwa
Telematika MKOM Vol 6, No 2 (2014): Jurnal Telematika MKOM Vol. 6 No. 2 September 2014
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (8203.826 KB)

Abstract

Knowledge Management System (KMS) bertujuan untuk meningkatkan kualitas SDM dalam suatu organisasi dengan memperbaiki komunikasi antara seluruh bagian organisasi dan meningkatkan penguasaan pengetahuan dengan melakukan transfer pengetahuan. Penerapan KMS dengan sebuah sistem berbasis web diharapkan dapat menjadi solusi dari kebutuhan transfer knowledge yang tidak dihalangi oleh batasan waktu dan tempat, sedangkan aplikasi mobile diharapkan dapat lebih mempermudah pengaksesan KMS oleh mahasiswa dan dosen yang mobilitas nya tinggi. Penelitian ini menggunakan kerangka kerja model Tiwana, dan untuk pemetaan knowledge organisasi menggunakan siklus KM model Zack, sedangkan untuk pembentukan knowledge menggunakan model SECI. Kualitas perangkat lunak yang dihasilkan diuji berdasarkan empat karakteristik kualitas perangkat lunak model ISO 9126. Hasil dari penelitian ini adalah prototipe KMS berbasis web dan mobile Android ini dapat diterapkan dengan baik dengan kualitas pengujian yang sangat baik sehingga dapat menjadi sebuah solusi untuk meningkatkan penguasaan pengetahuan dalam kegiatan belajar mengajar dan membuat prodi Perbankan Syariah dapat bekerja lebih cerdas dalam memanfaatkan sumber daya yang ada dari waktu ke waktu yang muaranya adalah peningkatan kualitas dan berkembangnya pengetahuan.
Performance Tuning Oracle 11g Database Melalui Inisial Paramater, Structure Database dan SQL Tuning. Studi Pada ERP SISFORBUN Dana Pensiun Perkebunan (DAPENBUN) - Samidi; - Hariyanto
Techno.Com Vol 22, No 2 (2023): Mei 2023
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v22i2.7831

Abstract

Dana Pensiun Perkebunan (DAPENBUN) sebagai pengelola manfaat pensiun bagi karyawan PTPN seluruh Indonesia beserta lembaga afiliasi dengan jumlah peserta per 31 Desember 2021 sebanyak 284.934 orang. Aplikasi SISFORBUN ini digunakan untuk memproses manfaat pensiun bagi seluruh peserta. Aplikasi berbasis web ini menggunakan database Oracle 11g dan sudah digunakan sejak tahun 2013, dengan seiring berjalanya waktu perkembangan data semakin banyak dengan jumlah record terbesar dalam satu table sebesar 26.696.667 record data, sehingga performa proses data semakin menurun. Atas dasar permasalahan tersebut perlu dilakukan penelitian untuk meningkat performa dari Aplikasi. Penelitian ini menggunakan metode SQL Tuning, Strukturing Object dan Initial Parameter Database. Setelah dilakukan pengujian dengan melakukan proses pembayaran Manfaat Pensiun pada laporan  manajemen nomor 18 (LM18), penulis dapat menyimpulkan bahwa setelah dilakukan optimasi, waktu yang diperlukan untuk proses pembayaran Manfaat Pensiun (LM18) menjadi lebih cepat dibandingkan sebelum dilakukan optimasi.
Pemodelan Database Sistem Monitoring Kompetensi Dosen Melalui Pendekatan TOGAF ADM Riri Fajriah; - Samidi
Techno.Com Vol 22, No 2 (2023): Mei 2023
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v22i2.7518

Abstract

Paradigma perubahan kurikulum pembelajaran berdasarkan outcome base education pada instansi perguruan tinggi Universitas Mercu Buana akan merubah implementasi capaian pembelajaran sesuai dengan target kompetensi capaian lulusan. Dampak dari hal tersebut salah satunya adalah pemenuhan target kompetensi melalui sertifikasi pelatihan yang sesuai kepada dosen selaku pengajar yang sesuai dengan pembelajaran mata kuliah yang disampaikan kepada mahasiswa. Akan tetapi, dalam fakta yang didapatkan baru sekitar 22% dari total populasi dosen tetap pada fakultas ilmu komputer yang telah memiliki sertifikasi kompetensi yang sesuai dengan mata kuliah pengajaran, sehingga hal ini akan menjadi permasalahan ketika fakultas akan melakukan reakreditasi program studi. Oleh karena itu diperlukan suatu pemodelan database yang akan mendukung sistem monitoring kompetensi dosen dengan baik. Proses perancangan database akan menyesuaikan dengan pemodelan relasional database dengan dimulai dari tahapan konseptual, logikal sampai dengan fisikal desain serta dengan evaluasi normalisasi data pada perancangan database. Untuk mendukung pengembangan arsitektur data yang ideal maka digunakan pendekatan Framework TOGAF ADM. Tujuan dari penelitian adalah menghasilkan pemodelan database yang tepat terkait dengan rencana perancangan sistem monitoring kompetensi dosen menggunakan pendekatan TOGAF ADM. Hasil dari penelitian ini adalah pemodelan database dan enterprise architecture planning sesuai kebutuhan bisnis Fasilkom di institusi perguruan tinggi Universitas Mercu Buana.
Gradient Analysis In Implementation of B-Tree Indexing In Reporting Annual Tax Database Samidi Samidi; Shofinurdin Shofinurdin; Andra Setiadi; Danar Darmawan; Dika Andharu
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.072 KB) | DOI: 10.36418/syntax-literate.v7i3.6437

Abstract

A query is a syntax or command used in a database system to access and display data. Queries can be used to make data interact with each other. To display query results in the database, of course, requires execution time which is usually denoted in seconds. Execution time is directly proportional to the amount of data to be displayed and the level of complexity of the database. To speed up query execution time, the term database optimization is known. One of the database optimization methods is to use the b-tree indexing technique the database. This study aims to compare the execution time of databases that have not been indexed or that have been indexed with data objects in the MySQL database MPN-Info application at the Jakarta Palmerah Tax Office (KPP Pratama Jakarta Palmerah). This application was developed to supervise taxpayers which is used in almost all tax service offices throughout Indonesia. The data used is active employee status taxpayer data registered until 2020 with the reporting of Annual Personal Income Tax Returns in 2019 and 2020. The study uses an experimental method by applying a select query, then the execution time is recorded well for unindexed and indexed databases. The gradient method will be used for compare the results of the two. The results obtained are after taking the population of taxpayers registered employees up to year In 2020 at KPP Pratama Jakarta Palmerah, 31,238 data were compared with the annual reporting data, the average execution time before indexing was 255.585 seconds and the average time after indexing was 1.341 seconds and the gradient value before indexing was 0.0211 and after indexing was 0.0001. This proves that the indexing technique has a significant impact in accelerating the query execution process.
Teknik Optimasi Database dengan Logic Execution Optimization pada Microservices Architecture Isnen Hadi Al Ghozali; Mohammad Shiddiq Antarressa; Samidi Samidi
CogITo Smart Journal Vol. 9 No. 1 (2023): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v9i1.444.60-72

Abstract

Microservices architecture, a distributed framework architecture that allows changes to one module without interfering with other modules. The implementation of this architecture has its own challenges. The get-list-attachment API running on this architecture takes an average of 12.5 seconds to serve data. This needs to be considered because business processes require shorter access times to support decision making. The research objective is to obtain query response time efficiency for accounting applications. To achieve this, the research uses database optimization techniques with logic execution optimization microservices architecture. This study obtained the source of information from the Accounting Harmony Accounting Module, which has an API (get-list-attachment) with data sourced from Service Accounting (581253 records) and Service Users (2182 records). Based on a series of tests carried out, several services need to be added with APIs to improve the microservices architecture to accept bulk parameters that generate a list of objects so that data presentation is more optimal. After doing a series of engineering on microservices architecture and indexing application, query response time performance increased by 49.22% for Service Accounting module.
Pembuatan Data Warehouse secara Berjenjang dari Data Transaksi dengan ETL Script PHP Yuliana Aisyah; Syaiful Anwar; - Samidi
Techno.Com Vol 22, No 3 (2023): Agustus 2023
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v22i3.8084

Abstract

Setiap perusahaan payment gateway yang mendapat ijin operasional Bank Indonesia (BI), harus melaporkan data transaksinya setiap bulan ke BI . Permasalahan terjadi karena database transaksi produksi tersebar di banyak database, dimana database dipisahkan berdasarkan channel (merchant) dan payment type (Credit card, VA, retail store, e-wallet), hal ini  menyulitkan saat pembuatan laporan. Penelitian ini ditujukan untuk membuat data warehouse yang menggabungkan seluruh database  dengan menggunakan script PHP yang melakukan proses ETL (Extract, Transform, dan Load), dengan cara berjenjang  2 tahap, yaitu tahap 1 melakukan backup seluruh database dari banyak server ke satu server dengan 3 tujuan sekaligus yaitu  backup transaksi , meningkatkan  performance database production dan membantu  proses rekonsiliasi dan tahap 2 melakukan pembuatan data warehouse  dari semua database backup dari tahap 1. Penelitian yang digunakan adalah kuantitatif verifikatif terhadap table-table yang diperlukan  pada system OLTP (Online Transaction Processing). Pengujian data warehouse dilakukan  secara kuantitatif dengan membandingkan hasil summary dari data warehouse dengan gabungan summary  semua database aslinya  dan secara verifikatif oleh petugas report melalui User Acceptance Test. Hasil dari penelitian adalah sebuah script untuk backup data transaksi dari semua database dari banyak server ke satu server,   sebuah script PHP yang berfungsi sebagai pelaksana ETL dan sebuah  data warehouse.
Examining the Joint Effects of Air Quality, Socioeconomic Factors on Indonesian Health Ahmad Wijaya Kusuma; Yuwan Jumaryadi; Samidi; Richard; Anandha Fitriani
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.338

Abstract

 This study addresses the pressing need to comprehensively manage air pollution by examining the roles of local and national public agencies from the perspective of the general public. Air quality poses a critical challenge that profoundly impacts various aspects of human life. To enhance our understanding and generate both theoretical and practical insights for public management, this research introduces several key variables: the engagement of authorities in mitigating air pollution, citizen involvement in pollution reduction efforts, financial incentives for individuals and businesses to adopt air-friendly behaviors, urban green investments, the communal consequences of air pollution, and the necessity for industrial participation. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the research approach, data was gathered from residents of Indonesia's largest cities, where pollution significantly affects society and governing bodies. The findings are pertinent for public managers at both local and national levels, providing valuable input to enhance strategies for curbing air pollution, enhancing air quality, and ultimately improving the well-being of inhabitants.
Co-Authors - Hariyanto Adinda Krida Wicaksono Ahmad Wijaya Kusuma Akbar, Ipal Anandha Fitriani Andharu, Dika Andra Setiadi Andy Rio Handoko Ario Bambang Lesmana Azlina Ahmad Bagus Priambodo Baihaqi Yogie Prasetyo Carmel Novella Henni Danar Darmawan Deska, Amat Devit Setiono Dijerja, Gahara Dika Andharu Eka W, Samuel Yusach Eko Aprianto Endang Saputra Fachruroji, Muhamad Fadly Fadly Fatmawati, Devy Fauzie Nurrakhman Febriantho Febriantho Fried Sinlae Gatot Tri Pranoto Gregorius Mikael Gufron, Dian Muhammad Gushelmi Henny Henny Indra Nugraha Inge Virdyna Iqbal, Aldy Mercyano Iqbal, Moh Himam Irma Yuningsih Iskandar, Daniel Isnen Hadi Al Ghozali Jumaryadi, Yuwan Khaerani A, Afifah Lesmana, Ario Bambang M Harviandi Rachman Maya Asmita Moedjiono Moedjiono Mohammad Shiddiq Antarressa Mohammad Syafrullah Monica Dwijayanti Muhammad Royani Nazori AZ Nugraha Abdullah, Indra Nuryadi, Hepi Purwanto Purwanto Rabiah Abdul Kadir Ramadhon, Muhammad Ramdhani Hidayat, Ramdhani Ratna Kusumawardani Ratna Kusumawardani, Ratna Richard Riri Fajriah Ronal Yulyanto Suladi Ruci Meiyanti Ruwirohi, Jan Everhard Safitri, Rahayu Saputro, Wahyu Ragil Septyo Wibowo, Wahyu Adi Setiadi, Indra Tresna Shofinurdin Shofinurdin Soepriadi, Raden Sofian Lusa Sri Wahyuningsih Suladi, Ronal Yulyanto Syafran Nurrahman Syahdinullah S, Sutan Syaiful Anwar Tjahjanto, Tjahjanto Triana Anggraini Tutik Sri Susilowati Vasthu Imaniar Ivanoti Virmansyah, Yusuf Widi Santoso Widyarto, Fajar Wilsen Grivin Mokodaser Wirda Hilwa Yuliana Aisyah