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PERANCANGAN ALAT PENYIRAMAN TANAMAN KRISAN OTOMATIS MENGGUNAKAN NODEMCU BERBASIS INTERNET OF THINGS (IOT) (STUDI KASUS : RIKI FLORA) Endah Sumiati; Bambang Santoso
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 02 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The development of knowledge and technology today encourages people to continue to think more creatively, not only exploring new discoveries, but also maximizing the performance of existing technology and continuing to innovate to ease human work in everyday life. The field of knowledge and technology is developing very rapidly, therefore we must be able to compete and master technology. Cultivating ornamental plants and fruit trees is a promising business. However, it is not easy to maintain. Like humans, plants need water for growth and development. Plants should not lack or excess water, soil that lacks water makes plants grow slowly and in ornamental plants makes plants look not fresh and wilted and vice versa, plants that have too much water also make plants unhealthy and can even cause plants to die. In watering plants, the owner usually does not pay attention to the conditions and needs of the plant. This causes plants not to get water intake that is in accordance with the needs of the plant itself. For this reason, this final project aims to make a plant watering device automatically by paying attention to soil moisture levels. By using a soil moisture sensor that functions as a reader of soil moisture levels. Then use a relay that functions to turn off and turn on the water pump. The ESP8266 module is also used as a data sender to the web which produces a display of sensor reading data results.
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK PADA PENYAKIT PNEUMONIA (STUDI KASUS : DINAS KESEHATAN KOTA TANGERANG SELATAN) Tri Rachmad Saputro; Bambang Santoso
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 03 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

To carry out the process of diagnosing pneumonia requires a fast and accurate process. The problem that occurs is that the diagnosis of pneumonia is still done manually. This causes a long time to wait for the availability of specialists, so technology is needed that can help pulmonary specialists to analyze early X-rays quickly and accurately with the use of computer-based information technology and data. It is hoped that this research will provide a solution to the problem and also help speed up the initial diagnosis using the CNN method. The CNN method was chosen because it has a high introduction to the deep learning process. In the CNN method there are various kinds of architectures that are generated through the experimental process that has been carried out by previous researchers. The problem that occurs is that the diagnosis of pneumonia is still done manually. This causes a long time to wait for the availability of specialists, so technology is needed that can help pulmonary specialists to analyze early X-rays quickly and accurately with the use of computer based information technology and data. This Pneumonia Detection System which is made using Python and uses the Convolutional Neural Network method can predict Pneumonia Disease using X-ray images with an Accuracy Rate of 91%, which can recommend to expert doctors and help the public recognize pneumonia.
Genetic Algorithm Approach for Cutting Stock Problems in Construction Industries Bambang Santoso; Heri Haerudin
International Journal of Integrative Sciences Vol. 2 No. 7 (2023): July 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v2i7.4810

Abstract

Cutting Stock Problem (CSP) is a classic problem involving cutting long stocks into smaller products with certain quantities. The optimization is to find cutting patterns with minimum waste. In construction industries, CSP applies to steel bar cutting. The steel bar is an important element in making reinforced concrete. The length of the steel bars from the steel manufacturers is fixed, while the requirements for the constructions are varying. The problem is to find optimized way to cut long, fixed-length steel bars into smaller, varying length bars required in the constructions. The requirements are different from building to building, both in the lengths and quantities. Many studies have been extensively done on the subject, from Brute Force, Greedy Search to Linear Programming. In this paper the study focuses on Genetic Algorithm approach. The results look promising for Fitness Function 1 where the focus is to minimize waste. Waste ranges from 2.03% to 4.31%. Fitness function 2 and 3 do not emphasize merely on minimizing the waste, but also on contiguity. Therefore the residues are more, ranges from 2.21% to 4.91% for Fitness Function 2 and from 2.03% to 30.7% for Fitness Function 3
PERANCANGAN ALAT MONITORING KUNCI PINTU DENGAN KONSEP IOT MENGGUNAKAN NODEMCU BERBASIS TELEGRAM Veny Ramadhani; Bambang Santoso
LOGIC : Jurnal Ilmu Komputer dan Pendidikan Vol. 1 No. 5 (2023): LOGIC : Jurnal Ilmu Komputer dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

Kebiasaan manusia yang sering lupa untuk mengunci pintu saat akan meninggalkan rumah mengakibatkan kejadian yang menimbulkan kerugian bagi pemilik rumah karena pada saat mengunci pintu masih menggunakan teknikal atau manual. Maka dari itu memerlukan notifikasi dan pencegahan apabila pintu rumah sedang terbuka ketika kita meninggalkan rumah. Dalam permasalahan ini, memanfaatkan teknologi dan aplikasi yang sudah ada sehingga dapat dipergunakan dengan baik untuk kehidupan sehari-hari. Metode yang digunakan pada penelitian ini adalah IOT (Internet of Things) yang memanfaatkan koneksi internet untuk melakukan berbagai hal yang memudahkan untuk segala aktivitas dan sistem aplikasinya menggunakan Telegram, karena pada aplikasi Telegram terdapat fitur Bot yang dapat digunakan untuk melakukan pencarian, pengingat dan sebagai penghubung. Hasil dari aplikasi Bot Telegram ini adalah sebuah akses kontrol kunci pintu dan memonitoring keadaan pintu secara langsung berbasis NodeMCU ESP8266 yang memiliki fungsi untuk mengendalikan kunci pintu dan mengirim notifikasi berupa chat ke Bot Telegram melalui jaringan internet sehingga pengguna dapat mengontrol dari jarak jauh.
PERTIMBANGAN ASPEK FILOSOFIS, SOSIOLOGIS, SERTA NORMATIF DALAM PENJATUHAN PIDANA DENGAN MENGEDEPANKAN ASAS OBYEKTIFITAS DAN PROPORSIONALITAS KESALAHAN TERDAKWA (Analisa Putusan Nomor: 813 K/Pid/2023 Tentang Kasus Ferdy Sambo): Analisa Putusan Nomor: 813 K/Pid/2023 Tentang Kasus Ferdy Sambo Benyamin Steven Napitupulu; Vera Rimbawani Sushanty; Syamsudin Noer; Bambang Santoso
DE RECHT (Journal of Police and Law Enforcement) Vol. 3 Issue 1 (2025)
Publisher : Fakultas Hukum Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55499/derecht.v3i1.272

Abstract

Penelitian yang dilakukan dengan menggunakan metode hukum normatif melalui pendekatan undang-undang, pendekatan konsep, dan pendekatan kasus yang dilatarbelakangi atas perubahan kualifikasi tindak pidana dan pidana yang semula pidana mati menjadi seumur hidup pada pertimbangan putusan kasasi perkara pembunuhan yang dilakukan oleh Ferdy Sambo. Data yang digunakan dalam penelitian adalah berupa bahan-bahan primer, sekunder dan tersier, yang diperoleh melalui penelitian kepustakaan (library research) atau studi dokumen. Hasil dari penelitian ini menunjukkan terdapat kekurangcermatan penerapan asas obyektifitas, asas proporsionalitas serta analisa aspek filosofis, sosiologis, dan normatif atas kesalahan terdakwa dan penggunaan KUHP Nasional yang prematur dalam pertimbangan mayoritas hakim. Untuk mewujudkan putusan-putusan Mahkamah Agung yang mengutamakan rasa keadilan maka setiap hakim haruslah memiliki pedoman dan memahami dengan benar terkait segala nilai-nilai yang dipergunakan dalam pertimbangannya tanpa intervensi kepentingan kekuasaan manapun.
Perancangan Dan Pengembangan Aplikasi Laundry Berbasis Web (Study Kasus: WisRuesik Laundry) Bambang Santoso; Munaldi
LOGIC : Jurnal Ilmu Komputer dan Pendidikan Vol. 4 No. 1 (2026): Logic : Jurnal Ilmu Komputer dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

Laundry adalah perusahaan jasa pencucian pakaian dan barang lainnya. Jenis barang yang diterima bervariasi dari pakaian, karpet, sepatu, tas, boneka, sprei, dan sejenis. Harga dan durasi pengerjaan tergantung dari barang dan jasa yang dipilih. Ada layanan reguler di mana pengerjaan akan dilakukan normal. Ada layanan kilat di mana pengerjaan akan diprioritaskan. Pencatatan transaksi secara manual merupakan kendala dalam laundry WisRuesik. Transaksi sering salah hitung dan tidak akurat, laporan harian maupun mingguan memerlukan waktu pembuatan yang panjang, pelanggan tidak punya akses mengetahui status dari cucian, kasir di depan perlu menghitung teliti total harga dan kembalian. Penelitian ini merancang dan membuat aplikasi untuk membantu perusahaan mengatasi kendala. Dimulai dari analisa kebutuhan, perancangan sistem, dilanjutkan dengan pembuatan program, pembuatan panduan, pelatihan dan pendampingan setelahnya. Hasil akhir, transaksi dapat lebih akurat dan cepat, pelanggan dapat memonitor status pengerjaan dari web, manajer dapat membuat laporan transaksi dengan lebih cepat dan mudah.
Analisis Pola Penjualan Menggunakan Data Mining Berdasar Algoritma Apriori pada PT. Inka Raya Friskey Hardin Halawa; Bambang Santoso
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 10 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

PT. Inka Raya has sales transaction data that can be processed to identify association patterns between products. The transaction data, which was previously used mainly as sales records, has not specifically provided information about products that frequently appear together in the same transaction. This study aims to apply data mining using the Apriori Algorithm to analyze sales patterns and to develop a web-based system that presents association rule results. The data used in this study consists of 510 sales transactions from PT. Inka Raya during the period of November to December 2025. The research stages include data selection, preprocessing, binary tabulation, itemset formation, support and confidence calculation, and association rule generation. The system was developed using PHP, CodeIgniter, Bootstrap, and MySQL, and was tested using Black Box Testing and White Box Testing methods. Based on data processing using a minimum support value of 10% and a minimum confidence value of 60%, 12 products met the 1-itemset criteria, 5 product combinations met the 2-itemset criteria, and 8 association rules met the minimum confidence value. The resulting association rules show product relationships that can be used as consideration by PT. Inka Raya in reading sales patterns and supporting purchase and product placement decisions.
ANALISIS PEMERINGKATAN TINGKAT KEMISKINAN BERBASIS DATA KUANTITATIF DI DUSUN ANGSANAH MENGGUNAKAN METODE AHP & TOPSIS Zarnaji; Bambang Santoso
Journal of Scientech Research and Development Vol 8 No 1 (2026): JSRD, June 2026
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v8i1.1596

Abstract

Penelitian ini bertujuan untuk menganalisis dan memeringkat tingkat kemiskinan di Dusun Angsanah I Kabupaten Sumenep dengan menggunakan metode Analytical Hierarchy Process (AHP) dan Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Permasalahan kemiskinan yang kompleks melibatkan berbagai kriteria seperti pendapatan, pendidikan, dan akses kesehatan yang membutuhkan pendekatan pengambilan keputusan multi-kriteria untuk menentukan prioritas keluarga yang harus mendapatkan intervensi secara tepat sasaran. Metode AHP digunakan untuk menentukan bobot pentingnya masing-masing kriteria, sedangkan TOPSIS diterapkan untuk melakukan pemeringkatan alternatif berdasarkan jarak solusi ideal positif dan negatif. Hasil penelitian diharapkan dapat memberikan rekomendasi objektif dan sistematis kepada pemangku kebijakan dalam merancang program pengentasan kemiskinan yang efektif dan efisien di wilayah tersebut.
Design and Development of a Multi-Product, Multi-Branch Laundry Application with Tracking Features Bambang Santoso; Munaldi
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 2 (2026): September 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i2.1630

Abstract

Laundry businesses are a thriving type of MSME (Micro, Small, and Medium Enterprise). These businesses provide cleaning services for clothing and similar items, ranging from garments, carpets, and stuffed toys to bags, shoes, and curtains. Service costs and turnaround times vary based on the specific service requested and the items being cleaned; standard services follow a routine schedule, whereas express services are prioritized. Relying on manual record-keeping (logbooks) presents challenges for many laundry businesses, such as frequent calculation errors, time-consuming report generation, a lack of visibility for customers regarding their laundry status, and the need for cashiers to manually calculate totals and change. This research involved designing and developing an application to help businesses overcome these obstacles. The process encompassed requirements analysis, system design, programming, manual creation, and subsequent training and support. The final outcome enables more accurate and rapid transactions, allows customers to track processing status via the web, and facilitates faster, easier transaction report generation for managers..