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All Journal Aptisi Transactions on Management ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) Saturnus: Jurnal Teknologi dan Sistem Informasi Journal Collabits
Saputro, Janu Ilham
Universitas Raharja
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences

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Sistem Informasi Administrasi Pembayaran Siswa Berbasis Web di SMK Bina Insan Nusantara Nisya Istiqomah Arifin; Muhamad Alfarel Julianto; Muhamad Miqbad Attamami; Janu Ilham Saputro
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1116

Abstract

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.
Information System Design Reminder Inventory Control At PT Nuansa Timur Lestari Saputro, Janu Ilham; Hasibuan, Irfan Yuanda; Octavia, Dwiana
APTISI Transactions on Management (ATM) Vol 4 No 1 (2020): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.619 KB) | DOI: 10.33050/atm.v4i1.1085

Abstract

The current information needs in the business world to be very important in determining the progress of a company. A good activity on a single company or technology is also determined by the available information. PT Lestari Eastern Nuances is a company engaged in the restaurant. The logging system supplies the raw materials of food are running currently still using Microsoft Excel to record incoming and outgoingraw food. The current running system still has many flaws and weaknesses as it takes quite a long time to figure out the amount of supplies of goods raw materials because an admin shed have to calculate the physical stock quantities directly, the occurrence of the difference in the number of requests the raw material with raw material expenses due to miscalculations by admin warehouse, takes a long time to make a request and expense report raw materials causing the company's performance be hampered, the absence of a reminder to remind Admins about the number of warehouse stock of raw materials so that when the raw materials needed by the chef stock no. Based on existing problems then needed a system to help the admin staff stock in managing demand and pengerluaran raw material so that it doesn't happen the difference in stocks of raw materials. The system will be created using the PHP programming language and the Mysql database, the method of analysis PIECES and using a systems development method in System Development Life Cycle (SDLC).
Design Information System Accounting Sales Website-Based (Case Study: PT Arbunco Wira Pandega) Yulandha, Nadia; Saputro, Janu Ilham; Nissa, Nadia Khaerun
APTISI Transactions on Management (ATM) Vol 4 No 2 (2020): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (936.395 KB) | DOI: 10.33050/atm.v4i2.1263

Abstract

Arbunco Wira Pandega does not have a system that covers all activities, one of which is in the sales department and the financial section in making sales reports and financial reports are still manually using Microsoft. Excel so that the media used are still very likely to cause human error so a sales accounting system is needed so that it can produce sales reports and financial reports that are more effective and efficient in the process of making sales reports and financial reports. This research uses the SWOT analysis method, PIECES, system requirements elicitation, and system modeling using UML (Unified Modeling Language) to visualize, which is then implemented with the Hypertext Preprocessor (PHP) programming language with the MySQL-Server database as the database used . With the sales accounting system, it can simplify the sales department and the finance department to produce accurate sales and financial reports in a fast time, so as to create effective and efficient performance, and can support evaluation in internal control for the leadership of the report.
Inventory Information System Design at PT. Instaprint Jaya Primatama Saputro, Janu Ilham; Octavia, Dwiana; Wibisono, Hurdjanto
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 1 No 2 (2020): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v1i2.112

Abstract

Information technology is rapidly developing all existing activities or activities become very important in determining the progress of the company, both in operational and non-operational activities, one of which is the procurement report which must produce accurate and accurate reports. PT Instaprint Jaya Primatama is a company engaged in the field of digital printing while those who do not yet have a system that uses stock of goods, the current system still has problems such as requiring a long time to find the amount needed Every day and making reports still using Ms. Excel so there is a delay in the company's performance. This study aims to create a system that can support the process of reporting needs that can be done effectively, the design process uses the PIECES method, system modeling using UML (Unified Modeling Language) to use visualization, which can be used by using the Hypertext Preprocessor programming language (PHP ) with a MySQL-Server database as a database. And to collect data, the authors use the method of observation, interviews, and literature study. With the system of preparation of goods, can make it easier for inventory administrators to produce accurate reports with a fast time can be made in order to produce effective and efficient.
Comparison of Random Forest and Naive Bayes Algorithms in Classification of Song Popularity on the Spotify Platform Saputro, Janu Ilham; Fantomi, Rian; Simbolon, Saoloan; Arizka, Puput Nur; Ramadani, Berlina
Journal Collabits Vol 3, No 1 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v3i1.37578

Abstract

The purpose of this study is to use machine learning to rank Spotify songs based on how popular they are. Because there is so much music data out there, musicians and artists need to know if a song will be popular or not. The dataset has 8,778 songs, each with different features like how popular the artist is, how many followers they have, and other song details. This research evaluates the efficacy of two classification algorithms: Random Forest and Naive Bayes. Artist popularity, artist followers, explicit album total tracks, and track number are the main things that are used to make models. The results of the experiment show that the Random Forest algorithm works better than the Naive Bayes algorithm. The Random Forest algorithm was right 76.54% of the time, but the Naive Bayes algorithm was only right 72.21% of the time. The f1-score for both popularity classes is also better for Random Forest. This finding shows that ensemble-based models, like Random Forest, work better with the features of music popularity data than basic probabilistic models do.
Comparison of Random Forest and Naive Bayes Algorithms in Classification of Song Popularity on the Spotify Platform Janu Ilham Saputro; Rian Fantomi; Saoloan Simbolon; Puput Nur Arizka; Berlina Ramadani
Journal Collabits Vol. 3 No. 1 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v3i1.37578

Abstract

The purpose of this study is to use machine learning to rank Spotify songs based on how popular they are. Because there is so much music data out there, musicians and artists need to know if a song will be popular or not. The dataset has 8,778 songs, each with different features like how popular the artist is, how many followers they have, and other song details. This research evaluates the efficacy of two classification algorithms: Random Forest and Naive Bayes. Artist popularity, artist followers, explicit album total tracks, and track number are the main things that are used to make models. The results of the experiment show that the Random Forest algorithm works better than the Naive Bayes algorithm. The Random Forest algorithm was right 76.54% of the time, but the Naive Bayes algorithm was only right 72.21% of the time. The f1-score for both popularity classes is also better for Random Forest. This finding shows that ensemble-based models, like Random Forest, work better with the features of music popularity data than basic probabilistic models do.
Web-Based Multi-Cafe Information System in the West Jakarta Area Luthfia Fauzia Dewi Ariyanti; Janu Ilham Saputro; Eduard Hotman Purba; Muhammad Nur Habibie
Journal Collabits Vol. 3 No. 2 (2026)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v3i2.39597

Abstract

Evolving urban lifestyles have driven increased public interest—particularly in West Jakarta—in visiting cafes for relaxation, work, and socializing. However, information regarding cafe locations, menus, prices, facilities, and operating hours remains fragmented and difficult to access centrally, making it challenging for potential customers to make informed choices. This research aims to design and develop a web-based information system that integrates data from various cafes in West Jakarta into a single, unified platform. The system development follows the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance. The system was built using web-based programming languages and a relational database to store cafe information, incorporating features such as search functionality, location- and category-based filtering, and user reviews. System testing utilized the Black Box Testing method to ensure all functions operated according to requirements, alongside usability testing to assess the system's ease of use for end-users. The results indicate that this multi-cafe information system enables users to quickly and accurately search for and compare cafe information while simultaneously assisting cafe owners in digitally promoting their businesses. This system is expected to serve as a beneficial, unified information solution for both the public and cafe business owners in West Jakarta.
Co-Authors Agus Sofyan Ahmad Syaefud Daeroby Arizka, Puput Nur Berlina Ramadani Cici Alviona Roza Eduard Hotman Purba Fadhillah, Muhammad Daffa Fantomi, Rian Fauzi, Rizky Amien Gojali, Muhamad Fikri Harfizar, Harfizar Hasibuan, Irfan Yuanda Luthfia Fauzia Dewi Ariyanti Mahesa, Dimas Marini Ekawati Martono, Dedi Muhamad Alfarel Julianto Muhamad Miqbad Attamami Muhammad Faisal Muhammad Nur Habibie Nissa, Nadia Khaerun Nisya Istiqomah Arifin Nugroho, Indrawan Octavia, Dwiana Octipany, Rulita Praditya Aliftiar Prastyo, Doni Puput Nur Arizka Putri Ika Wati Rahmadani, Ade Agung Ramadani, Berlina Ramadhanti, Kinanti Dara Rian Fantomi Rulita Octipany Sa'adah, Lailatus Ferahma Saoloan Simbolon Silaban, Nia Adelina Simbolon, Saoloan Siti Sunariah Sriyono, Diaz Mauludin Syifa, Yasyfiyani Utami, Wiranti Sri Wati, Putri Ika Wibisono, Hurdjanto Yulandha, Nadia Yuliyanto, Hizkia