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PROTOTYPE ROBOT PEMADAM API MENGGUNAKAN FUZZY INFERENCE SYSTEMS BERBASIS MIKROKONTROLER AVR ATMEGA328 Sumiati Sumiati; Desmira Desmira; Sigit Sasongko
ETHOS (Jurnal Penelitian dan Pengabdian) Vol 5 No.2 (Juni, 2017) Ethos: Jurnal Penelitian dan Pengabdian (Sains & Teknologi)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/ethos.v5i2.2360

Perkembangan robot pada masa sekarang banyak yang digunakan untuk membantu tugas manusia, salah satunya robot pemadam api. Robot pemadam api memerlukan berbagai macam sensor untuk berjalan dengan baik, salah satunya adalah menggunakan sensor ultrasonik yang digunakan untuk navigasi robot. Caranya sensor ultrasonik mendeteksi adanya penghalang, maka robot akan berbelok dan berjalan kembali secara otomatis tanpa menabrak penghalang ataupun benda yang berada di sekitarnya. Sensor api yang di gunakan untuk mendeteksi api dan mencari titik api dengan cara menilai intensitas cahaya. Untuk memadamkan api di tambahkan pompa mini agar mengeluarkan air yang di kontrol dengan mikrokontroler ATMega328. Mikrokontroler ATMega328 berfungsi untuk pusat fungsi kendali robot.Output mikrokontroler akan menghasilkan logika 1 unutk mengaktifkan driver motor pada pin IC L293D untuk mengaktifkan motor roda kanan dan roda kiri. Motor DC yang digunakan sebagai penggerak robot, dan baterai disini berfungsi sebagai catu daya pada robot. Hasilnya adalah, robot ini dapat mendeteksi titik api dan memadamkan api di dalam ruangan.

Peningkatan Kemandirian Masyarakat Melalui Kewirausahaan Umkm Berbasis Kekayaan Intelektual (Ki) Di Kelurahan Kasuyatan Sulasno Sulasno; Sumiati Sumiati; Suryaman Suryaman; Suherman Suherman; Media Sucahya
BANTENESE : JURNAL PENGABDIAN MASYARAKAT Vol. 1 No. 2 (2019): Juli-Desember 2019
Publisher : Pusat Studi Sosial dan Pengabdian Masyarakat Fisipkum Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/ps2pm.v1i2.1912

Pemanfaatan peranan Kekayaan Intelektual oleh pelaku usaha terhadap produk-produk UMKM belum maksimal. Belum meratanya pemahaman bahwa Kekayaan Intelektual sebagai kebutuhan terhadap Pelindungan produk-produk UMKM yang belum didaftarkan. Selain itu kendala biaya dan kesulitan akses dianggap juga sabagai penyebab lainnya. Kegiatan Pengabdian pada masyarakat ini dibuat untuk menjawab permasalahan pelaksanaan Pengabdian Masyarakat dan Pelindungan Kekayaan Intelektual (KI) terhadap produk Usaha Mikro, Kecil dan Menengah (UMKM) di Desa Kasunyatan Kecamatan Kasemen. Metode yang di pergunakan dalam pengabdian masyarakat di kelurahan Kasunyatan Kecamatan Kasemen , Kabupaten Serang ini adalah dengan menggunakan metode ceramah, diskusi (FGD), dialog, dan melakukan tanya jawab tentang seluk beluk arti pentingnya Kekayaan Intelektual bagi para wirausaha produk produk UMKM dan juga tentang berbagai peraturan perundangan yang berkaitan dengan kekayaan Intelektual (KI) yang dapat melindungi produk produk UMKM sampai pada pendaftarannya. Pengabdian masyarakat dilakukan panel dan bergantian oleh tim. Hasil pengabdian pada masyarakat bahwa dalam rangka memberikan Pelindungan Hukum terhadap produk-produk UMKM, maka Pemerintah selayaknya berperan memberikan kemudahan dalam pendaftaran, keringanan, dan kemudahan akses terhadap pendaftaran dan sosialisasi Kekayaan Intelektual. Kata Kunci : Produk UMKM, Pelindungan, Kekayaan Intelektual (KI)

PENGARUH SUMBER DANA DEPOSITO DAN GIRO TERHADAP TINGKAT KESEHATAN BANK (Studi Kasus Pada PT.Bank XYZ) Sumiati Sumiati
Sains Manajemen Vol. 3 No. 1 (2017)
Publisher : Universitas Serang Raya

The background of this paper is to analyze the correlation between the sources of funds of a bank's financial performance parameters including measured by CAR (Capital AdequacyRatio), ROA (Return on Assets), ROA (Operating Expenses to Operating Income) and NIM (Net Income Margin ). Measurement of the ratios above is one of the most common of Bank Indonesia in the assessment of the Bank (NKTK) or performance of the Bank.While the source of the funds is intended as funds collected from the public banks as demand deposits, and deposits as well as from inter-bank funds in connection with the intermediation function. In this case the bank acting as providers of funds to the parties who need it in the form of credit or other form of investments such as the purchase of securities and interbank placements. In setting policy on the composition or structure of the fund is ideal for banks is very important, especially as it concerns to the cost of funds, interest loans and ultimately thebank's ability to obtain the expected profit rate. This looks at ratios such as ROA and ROA, so that policies in determining the composition of improper fund structure would result inreduced level of benefits that have accrued bank and can ultimately affect the capital and soundness of the Bank.The selected research object is PT. Bank XYZ. Data collection techniques and research uses secondary data in the form of Annual Financial Statements were submitted and published by the Bank sampled. Restrictions object of research carried out in line with the title discussion namely Effect Analysis Sources and Demand Deposits to the Bank through the calculation of funding sources, by analyzing the influence of sources of funding contribution Deposits and Giro PT. Bank XYZ. Hypothesis testing program from SPSS can be seen that there are significant sources of funding and Giro deposits together with the Bank. However, based on the results of hypothesis test (t test) showed that the deposits and Giro not had a significant relationship with the Bank, meaning Giro Deposit and can not be used to estimate the value of the Bank.

Expert system for heart disease based on electrocardiogram data using certainty factor with multiple rule Sumiati Sumiati; Hoga Saragih; Titik Abdul Rahman; Agung Triayudi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i1.pp43-50

Limited public health services in remote areas, where the lack of transportation infrastructure, facilities, communication facilities and minimal medical personnel, especially for areas with underdeveloped, foremost, and regular (3T) status. The limitation of medical personnel is one of the factors for the high mortality rate of heart disease. On the other hand, the development of information technology, especially in the field of computing, is very fast in the era of the industrial revolution 4.0, but not yet used optimally, especially in the health sector. This study aims to develop a system or software that can replace a doctor for the process of identifying heart defects based on an expert system. Expert system developed with the certainty factor with multiple rule approach. System testing is carried out from the results of the system validity with experts, so that the system test results produce a certainty factor value for a normal heart of 0.95 and an accuracy level of 95%, while the certainty factor (CF) value for an abnormal heart is 0.99 and produces an accuracy rate of 99%.

Data Mining Implementation to Predict Sales Using Time Series Method Triayudi, Agung; Sumiati, Sumiati; Nurhadiyan, Thoha; Rosalina, Vidila
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2028

Sales transaction data histories can be used to predict the possibility of sales transaction that will occur in the future. These characteristics are in accordance with forecasting using time series method where this method uses previous data as tools to predict transaction value that will appear in the present time. Company X that runs its business by sell their product through distributors has sales data that is not optimally utilized. The average number of sales per year ranges from 5000 transactions which is not use to forecast transactions hereafter. Transaction data is stored in the company database so that data mining technology can be applied to support company X transaction data collection from previous year. The data is processed in applications where the results of forecasting are compared with real data in 2018 to see the accuracy of the forecasting results. The graphic that shown in application has pattern which can use for forecasting. From the forecasting method used, it can be seen that the forecasting results show data that came out did not produce data that matched the real data where the highest level of accuracy was 99.68% and the lowest accuracy was still above 50%.

Data Mining Implementation to Predict Sales Using Time Series Method Agung Triayudi; Sumiati Sumiati; Thoha Nurhadiyan; Vidila Rosalina
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2028

Sales transaction data histories can be used to predict the possibility of sales transaction that will occur in the future. These characteristics are in accordance with forecasting using time series method where this method uses previous data as tools to predict transaction value that will appear in the present time. Company X that runs its business by sell their product through distributors has sales data that is not optimally utilized. The average number of sales per year ranges from 5000 transactions which is not use to forecast transactions hereafter. Transaction data is stored in the company database so that data mining technology can be applied to support company X transaction data collection from previous year. The data is processed in applications where the results of forecasting are compared with real data in 2018 to see the accuracy of the forecasting results. The graphic that shown in application has pattern which can use for forecasting. From the forecasting method used, it can be seen that the forecasting results show data that came out did not produce data that matched the real data where the highest level of accuracy was 99.68% and the lowest accuracy was still above 50%.

Group Decision Support System for Job Promotion Using the Simple Additive Weighting (SAW) Method Muhar Dizani; Sumiati Sumiati; Suherman Suherman
Journal of Machine Learning and Soft Computing Vol. 1 No. 1 (2019): Volume 1, Nomor 1, Maret 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jlmsc.v1i1.1673

The Group Decision Support System is a tool used to help group decision makers become faster and more objective. A case study at Serang Raya University is the selection of employees for promotion. The problem is the difficulty in determining which employees will be promoted to fill a certain position and spend a lot of time and how to do the calculation? The research methodology used is system analysis, and calculation of the Simple Additive Weighting (SAW) method. The criteria chosen are based on staffing policies. The decision makers involved were the dean of the faculty, the head of the staffing department and the university's rector. Simple Additive Weighting (SAW) can determine the weight value for each attribute, then proceed with the ranking process that will select the best alternative from a number of alternatives. The results are used to make it easier for users to choose the employees to choose for promotion. This system is expected to help speed up employee decision making to be promoted.

Pemberdayaan Kelompok Ibu Rumah Tangga Melalui Pembentukan Home Industry Sabun Pencuci Lantai Berbahan Dasar Limbah Minyak Jelantah Sumiati Sumiati; Tb. Ai Munandar; Arifina Febriasari; Suryaman Suryaman; Sulasno Sulasno; Apriliana Dwijayanti
Al-Khidmat Vol 2, No 1 (2019)
Publisher : Pusat Pengabdian kepada Masyarakat LP2M UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jak.v2i1.5004

Minyak goreng merupakan kebutuhan sehari sehari yang digunakan oleh ibu rumah tangga untuk keperluan memasak, namun masyarakat belum menyadari bahwa minyak goreng yang sudah tidak digunakan dapat dimanfaatkan menjadi produk rumah tangga, dimana jumlah minyak jelantah (minyak bekas) tanpa disadari jumlah melimpah, sehingga dengan permasalahan yang ada, maka minyak jelantah tersebut dapat berubah pemanfaatan menjadi sabun pencuci lantai berbahan dasar limbah minyak jelantah. Banyak minyak Jelantah (minyak bekas) tidak digunakan atas pemanfaatan yang ada, sehingga dapat memanfaatkan limbah minyak jelantah tersebut menjadi produk rumah tangga seperti sabun pencuci lantai. Disatu sisi, pada umumnya masyarakat belum produktif secara ekonomi,sulit menumbuhkan jiwa berwirausaha untuk menciptakan lapangan pekerjaan. Pada umumnya masyarakat masih beranggapan bahwa bekerja pada suatu perusahaan merupakan hal yang sangat luar biasa, sehingga dengan paradigma masyarakat beranggapan bekerja disuatu perusahaan, merupakan suatu hal yang luar biasa, maka banyak sekali terjadi penggangguran. Tanpa disadari dampak dari pengangguran sangat terasa, dimana banyak terjadi tindakan kriminal yang terjadi pada lingkungan, sehingga untuk mengatasi hal tersebut, dilakukan seperti pemberdayaan masyarakat untuk kemanadiran perekonomian masyarakat berbasis pelatihan, pelatihan pelatihan itu dilakukan proses mendeversifikasi minyak jelantah menjadi produk rumah tangga, seperti superpell. Sehingga dengan pelatihan pelatihan yang diberikan ke masyarakat diharapkan masyarakat dapat lebih produktif secara ekonomi meliputi segi produksi dan manajemen usaha, selain itu dapat membantu menciptakan ketentraman, dan kenyamanan dalam kehidupan masyarakat dan dapat meningkatkan keterampilan berpikir sofskill dan hardskill, metode yang akan digunakan dalam pencapaian tujuan tersebut dengan memberikan pelatihan pendidikan kewirausahaan, mendorong home industri, dan membantu dalam hal pemasaran produk . Sehingga dapat meningkatkan taraf hidup masyarakat dan dapat meciptakan lapangan pekerjaan, sehingga kehidupan masyarakat menjadi lebih baik.

Pemberdayaan Ibu Rumah Tangga melalui Pembinaan Wirausaha Mandiri Pembuatan Sabun Milan dan Kerupuk Ampas Tahu Sumiati Sumiati; Ratu Dea Mada
Wikrama Parahita : Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2018)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jpmwp.v2i1.385

One of activity occurred in Community Service Program of Unsera is workshop of entrepreneurship which involved the lectures as the supervisor. This workshop is done to established entrepreneurships among housewives in Sukamaju Village, Cikeusal District. We hope that the big numbers of housewives potency at this place can increase the salary for the household and support the needs of the household itself. This workshop produced soap called, Milan Soap and Tofu snacks with variant taste. This workshop also increase the economic level of the people in this place by producing soaps from house oil waste and tofu snacks from tofu waste and develop knowledge about entrepreneurships, accounting and marketing.

Measure the effectiveness of information systems with the naïve bayes classifier method Agung Triayudi; Sumiati Sumiati; Saleh Dwiyatno; Dentik Karyaningsih; Susilawati Susilawati
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i2.pp414-420

Technological advances at this time are developing very fast, information systems became the frontline in technological advancements, the need for information systems to support jobs is increasingly high. However, its implementation for users does not have a significant impact, so that it needs to be reviewed and re-evaluated in the use of the information system built. The naive bayes classifier method can provide "effective" and "ineffective" conclusions and is used as material for evaluation and improvement. The purpose of this study is to contribute to measuring the effectiveness of the information system, to solve problems with the naïve bayes classifier method approach which has advantages in the process of classifying data and predicting data. From the test results three times, training has been conducted using 100 data, accuracy value of 84.82% and error 15.18%.

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