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All Journal TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer International Journal of Artificial Intelligence KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains Jurnal Intelek Insan Cendikia
Alvino Octaviano
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Religion Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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DESIGN OF COMPUTER REPAIR SERVICES APPLICATION ANDROID-BASED Achmad Udin Zailani; Alvino Octaviano; Sholihin, Sholihin
TEKNOKOM Vol. 4 No. 1 (2021): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.814 KB) | DOI: 10.31943/teknokom.v4i1.58

Abstract

Computers are one form of advances in electronic and informatics technology; the function of the computer itself serves as a tool for writing, drawing, editing images or photographs, or as a means of storage. Android, a Linux-based operating system, is a smart operating system that can compete with operating systems on a computer. Some of the problems identified include user difficulties in overcoming computer damage to determine whether to repair or buy a new unit, difficulty in reaching authorized service providers, risks when deciding to repair at a public service place, and limited access to information and costs repairing computer damage. This research specifically designs an Android application-based computer service application that makes it easier for people to get service services. The above research results formulate computer repair services using an Android-based platform with Android Studio and MySQL as the database for this study. This application is expected to be useful for customers in terms of time and cost.
Analisa dan Penerapan Sistem Inferensi Fuzzy Metode Mamdani untuk Penentuan Penerima Beasiswa Munawaroh; Normalisa; Alvino Octaviano
International Journal of Artificial Intelligence Vol 6 No 1 (2019)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0601.31

Abstract

Beasiswa merupakan pemberian berupa bantuan keuangan yang diberikan kepada perorangan. Beasiswa bertujuan untuk digunakan demi keberlangsungan pendidikan yang ditempuh. SMAN 1 Parung merupakan lembaga formal milik pemerintah yang bergerak pada bidang pendidikan. SMAN 1 Parung mempunyai program beasiswa untuk siswa berprestasi yang kurang mampu. Masalah yang kerap kali terjadi yaitu tidak tepatnya pemberian beasiswa karena hanya menggunakan rata-rata nilai rapor. Berdasarkan masalah tersebut, penulis melakukan penelitian untuk menentukan penerima beasiswa menggunakan fuzzy inference system metode Mamdani, dengan kriteria rata-rata nilai rapor, pendapatan orang tua, dan jumlah tanggungan orang tua. Pendekatan yang digunakan untuk menyelesaikan permasalahan penelitian melalui studi pustaka dari penelitian terdahulu tentang penentuan penerima beasiswa, teori tentang logika fuzzy metode Mamdani, kemudian menyusun tahap-tahap yang harus dilakukan dalam penelitian. Penerapan metode dan kriteri diharapkan dapat diperoleh perhitungan yang akurat sehingga menghasilkan penilaian yang akurat terhadap siswa-siswi yang berhak mendapatkan beasiswa. Analysis and Application of the Mamdani Method Fuzzy Inference System for Determining Scholarship Recipients Abstract: Scholarships are gifts in the form of financial assistance given to individuals. Scholarships aim to be used for the sustainability of the education being pursued. SMAN 1 Parung is a formal government-owned institution which is engaged in education. SMAN 1 Parung has a scholarship program for underachievers. A problem that often occurs is the inaccuracy of scholarships because they only use an average report card grade. Based on these problems, the authors conducted a study to determine the recipient of the scholarship using the Mamdani method of fuzzy inference, with criteria for the average value of report cards, parental income, and the number of dependent parents. The approach used to solve research problems through literature studies from previous research on the determination of scholarship recipients, the theory of fuzzy logic Mamdani method, then arrange the stages that must be done in research. The application of methods and criteria is expected to be obtained by accurate calculations so as to produce an accurate assessment of students who are entitled to scholarships. Keywords: Fuzzy Inference System, Mamdani Method, Decision Making.
PELATIHAN MEMBUAT APLIKASI ANDROID DENGAN GOOGLE SHEET DI SMK CAHAYA BANGSA Alvino Octaviano; Sofa Sofiana; Bambang Santoso
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2023): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

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Abstract

Pengertian dasar kepada siswa mengenai aplikasi android. Menyadarkan pentingnya membuat software. Manfaat Pengabdian kepada Masyarakat Disamping menuntut ilmu di sekolah, pelajar perlu dibekali dengan ilmu membuat software. Karena software adalah suatu keniscayaan. Hampir semua orang yang terhubung ke dunia internet akan menggunakan software dalam satu atau lain keperluan. Manfaat Pengabdian kepada Masyarakat, Siswa mendapatkan penjelasan memembuat aplikasi android, Siswa mendapatkan penjelasan instalasi dalam membuat aplikasi android.
Perancangan Aplikasi Perekrutan Karyawan Baru Di Pt. Katolec Indonesia Berbasis Web Maharani Pramesti Apriliyani; Alvino Octaviano
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 04 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The employee recruitment process by sending application files via email is considered to be less effective in carrying out the employee recruitment process. PT. Katolec Indonesia is one of the companies in the employee recruitment process that still uses e-mail sent to HRD. This has an impact on incoming messages in large quantities causing spam, takes quite a long time to select application data and the selection of employees does not match the required criteria company.This study aims to create a website-based employee recruitment application to make it easier for companies to recruit and select employees according to the required criteria, in addition to making it easier for job seekers to apply for jobs. In the research using the SDLC (Software Development Life Cycle) system development method waterfall model which includes the stages of system planning, analysis, design, implementation, testing and maintenance. The system is built using the PHP programming language, the database server uses MySQL. The results achieved in this study are web-based employee recruitment applications that are expected to help HRD in the hiring process quickly and according to the criteria the company wants.
Perancangan Sistem Transaksi Laundry Berbasis Web Pada F&F Laundry Wahyu Erlangga Susanto; Alvino Octaviano
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 07 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Information Technology is a study, design, implementation, development, support or management of computer-based information systems, especially in computer hardware and software applications. Transactions are events or situations that affect the company's financial position. Therefore F&F Laundry wants to develop a manual transaction system to be website-based. The design of this website uses the Watetfall method in its work, namely creating a website to assist transactions at F&F Laundry, which produces a system that displays laundry transaction data. The result will be a website to help transactions at F&F Laundry, which produces a system that displays laundry transaction data.
PEMANFAATAN GOOGLE SITES SEBAGAI PORTOFOLIO PROFESI GURU Bambang Santoso; Sofa Sofiana; Alvino Octaviano
Abdi Jurnal Publikasi Vol. 3 No. 2 (2024): November
Publisher : Abdi Jurnal Publikasi

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Abstract

This teacher portfolio creation training using Google Sites aims to improve teachers' digital competence in documenting best learning practices. Through this training, it is expected that teachers will be able to utilize Google Sites features to create professional and interactive portfolios. This portfolio not only functions as proof of performance, but also as a tool for reflection and continuous professional development. The results of this training show a significant increase in teachers' ability to use digital technology for learning purposes and improving the quality of education. This training was conducted by lecturers from Pamulang University to teachers at SDN Keroncong 1 Tangerang, designed to equip teachers with technical skills in using Google Sites. Through presentations, as well as participant observation, the training improved teachers' abilities in designing, developing, and managing digital portfolios. In addition, teachers were also motivated to develop innovative learning practices. The results of this community service concluded that portfolio creation training using Google Sites is an effective step in improving teachers' digital competence and the quality of learning in schools.
SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PADA TANAMAN CABAI MENGGUNAKAN METODE CASE BASED REASONING BERBASIS WEBSITE Astri Fatkiah; Alvino Octaviano
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 03 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Chili is a plant that has quite high economic value, chili plants are also widely cultivated by Indonesian farmers. In addition, chili plants also have good nutrition for anti-oxidants. Chili plants are one type of agriculture that is needed in everyday life, because this type of plant has many benefits, besides that chili plants are horticultural plants that are widely used for food needs. There are several problems in the cultivation of chili plants, namely it is difficult to detect or know the symptoms or causes of damage to the chili plants so that the chilies can be damaged such as rot, attacked by pests. The main obstacle to this problem is disease and pest attacks. Diseases and pests can be very detrimental to farmers, causing decreased yields and crop failure. An expert system for diagnosing chili plant diseases based on a website is one way to stimulate the handling of diseases that often occur in this plant. By identifying the symptoms that arise from chili plants with the same level of similarity, this expert system is created or designed using a case-based inference method, this compares the previous case with what happened, and performs the calculation of the Nearest Neighbor Similarity method in determining the expected similarity number of symptoms. solution to the problem above.
ANALISIS SENTIMEN PENGGUNA TOKOCRYPTO SEBAGAI SARANA INVESTASI DI MEDIA SOSIAL X MENGGUNAKAN METODE KNN Muhammad Raihan Irzi; Alvino Octaviano
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
Publisher : Journal of Research and Publication Innovation

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Abstract

The advancement of digital technology has driven a significant transformation in the investment landscape, particularly through digital assets such as cryptocurrency. Tokocrypto, as one of the local crypto exchanges in Indonesia, has become the focus of social media users, especially on X (formerly Twitter), who often express their opinions about the platform. To understand user sentiment, a sentiment analysis was conducted using 1,386 tweets collected with the keywords “investasi tokocrypto” and “cex tokocrypto”, which were then manually filtered to remove irrelevant data, resulting in a final dataset of 600 tweets. The data was collected through a crawling method and cleaned through preprocessing steps including case folding, normalization, tokenizing, stopword removal, and stemming. After labeling, neutral sentiments were removed, leaving 417 tweets categorized into positive and negative sentiments. The classification process was carried out using the K-Nearest Neighbor (K-NN) method, evaluated across various training and testing ratios and different K values. The best-performing model was achieved with K=7 and an 80:20 ratio, producing the highest performance with accuracy = 74%, precision = 75%, F1-score = 78%, and recall = 81%. The results of this study demonstrate the effectiveness of the K-Nearest Neighbor method in sentiment analysis and provide insights into user perceptions of Tokocrypto as an investment platform on social media platform X.
Penerapan Data Mining Untuk Klasifikasi Persediaan Barang Menggunakan Metode K-Nearest Neighbor & C4.5 Dan Prediksi Persediaan Barang Menggunakan Metode Safety Stock & ROP (Studi Kasus : PT. Macro Jaya Agung) Novia Dwi Anggraeni; Alvino Octaviano
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 07 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Current customer interest prediction is a very influential factor in the development of a business. Companies that are less effective in determining the quantity of merchandise inventory result in companies often making excessive purchases of goods. Excessive purchases of goods result in accumulation of goods so that financial flows do not run well and smoothly. Based on these problems, a data mining algorithm and calculation method are needed to predict future inventory and can help PT Macro Jaya Agung predict customer interest so that inventory remains stable. The classification algorithm used in data mining is K-Nearest Neighbor & C4.5, while the method used for calculations is safety stock & ROP (Reorder point). In the K-Nearest Neighbor & C4.5 algorithm using the RapidMiner application, the accuracy results for K-Nearest Neighbor are 88.89% using the confusion matrix and 86.00% using cross validation, while C4.5 has an accuracy rate of 66.67% using the confusion matrix and 71.81% using cross validation. The safety stock & ROP (Reorder point) method is used to determine the return order point for medical devices in order to determine the amount of stock of goods so that there is no buildup of goods and complaints from customers, so that the company's flow runs well and smoothly. The results of the 2.2L iron tube (0.25 M3) study were obtained for 131,889 pcs of safety stock and 186 pcs of ROP.
Penerapan Data Mining Dalam Meningkatkan Penjualan Handphone Dengan Menggunakan Metode Algoritma Apriori (Studi Kasus: PT. Agung Sejahtera Makmur) Fatihatul Suci; Alvino Octaviano
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 09 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Competition in business is increasingly competitive, especially from the use of mobile phones which are the main tools that can help human work. It can be seen from the various brands that are offered with interesting facilities to use and so the market for the product is getting bigger. With that, it makes business actors compete with each other with all the marketing strategies used to get lots of consumers to buy. That way a marketing strategy is needed that can help increase product sales. One of the strategies is to make product patterns that can be recommended based on office databases with the application of data mining or data mining, as well as a priori algorithm calculations and using the RapidMiner assistance application to get accurate results and can also be determined with support and confidence values. With the aim of processing transaction data that was not originally processed into data that can be used for marketing strategies. And the results of this application become an association rule, namely forming a product pattern that can help design a marketing strategy for PT. Agung Sejahtera Makmur to increase sales.
Co-Authors Achmad Udin Zailani Agam Multazam Anis Mirza Astri Fatkiah Bambang Santoso Fatihatul Suci Herwis Gultom Maharani Pramesti Apriliyani Muhammad Arfan Bustomi Muhammad Raihan Irzi Munawaroh Normalisa Novia Dwi Anggraeni Sholihin Sholihin Sofa Sofiana Wahyu Erlangga Susanto