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All Journal Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics JURNAL KIMIA SAINS DAN APLIKASI Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Journal of Nutrition College Jurnal Neutrino : jurnal fisika dan aplikasinya JURNAL FISIKA Analisa JFA (Jurnal Fisika dan Aplikasinya) JOURNAL OF NATURAL SCIENCES AND MATHEMATICS RESEARCH JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Journal of Natural Sciences and Mathematics Research Phenomenon : Jurnal Pendidikan MIPA Jurnal Biodjati JIPF (Jurnal Ilmu Pendidikan Fisika) Al-Kimia Edukasi Islami: Jurnal Pendidikan Islam JURNAL EKSAKTA PENDIDIKAN (JEP) MIND (Multimedia Artificial Intelligent Networking Database) Journal Physics Education Research Journal Journal of Electrical Engineering and Computer (JEECOM) Analisa: Journal of Social Science and Religion Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Journal of Holistic Medical Technologies Community Research and Application Journal (CRAJ)
Hadi Kusuma, Hamdan
Department Of Physics, Faculty Of Science And Technology, Universitas Islam Negeri Walisongo, Semarang|Universitas Islam Negeri Walisongo|Indonesia
Religion Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Physics Social Sciences Other

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Klasifikasi Tumor Payudara Berbasis Ciri Tekstur pada Citra Mammografi Menggunakan Metode Naive Bayes BELLA JULIA; HENI SUMARTI; HAMDAN HADI KUSUMA
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 7, No 2 (2022): MIND Journal
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v7i2.165-176

Abstract

ABSTRAKKanker payudara adalah jenis kanker yang terjadi pada sebagian besar wanita. Kanker payudara terjadi akibat pertumbuhan berlebih atau perkembangan sel jaringan payudara yang tidak terkendali. Mammografi merupakan metode terbaik untuk deteksi dini kanker payudara karena dapat menunjukkan lesi secara dini. Namun, analisis terhadap mammogram ini masih dilakukan secara manual oleh ahli medis, sehingga perlu perangkat tambahan. Telah banyak penelitian tentang olah citra untuk deteksi kanker secara otomatis. Pada penelitian ini digunakan metode Naive Bayes untuk klasifikasi citra tumor jinak dan tumor ganas. Tujuan dari penelitian ini untuk mengklasifikasi citra mammografi berdasarkan dua kelas yaitu tumor jinak dan tumor ganas dengan berbasis ciri tekstur menggunakan histogram dan Gray Level Co-occurrence Matrix  (GLCM). Penelitian ini menunjukkan hasil akurasi sebesar 80%, sensitivitas sebesar 90%, dan spesifitas sebesar 70%. Oleh karena itu, penelitian ini bisa dijadikan perangkat tambahan untuk klasifikasi tumor payudara ganas dan jinak.Kata kunci: Tumor Payudara, Mammografi, Klasifikasi Naive Bayes.ABSTRACTBreast cancer is a type of cancer that occurs in most women. Breast cancer occurs due to overgrowth or uncontrolled development of breast tissue cells. Mammography is the best method for early detection of breast cancer because it can show lesions early. However, the analysis of this mammogram is still done manually by medical experts, so additional devices are needed. There have been many studies on image processing for automatic detection. In this study, the Naive Bayes method was used to classify images of benign tumors and malignant tumors. The purpose of this study is to classify mammographic images based on two classes, namely benign and malignant tumors based on histogram textures and Gray Level Co-occurrence Matrix (GLCM). This study showed an accuracy of 80%, sensitivity of 90%, and specificity of 70%. Therefore, this study can be used as an additional tool to classify malignant and benign tumors.Keywords: Breast Cancer, Mammografi, Naive Bayes Classification
X-Ray Diffraction and Density Distribution Measurements on the Al2O3 Crystals Grown by Czochralski Method with Different Pull Rate Hamdan Hadi Kusuma
Journal of Natural Sciences and Mathematics Research Vol 1, No 1 (2015): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (72.184 KB) | DOI: 10.21580/jnsmr.2015.1.1.475

Abstract

The Al2O3 crystal has been done by Czochralki Method with different pull rate. The effect of pull rate on the Al2O3 single crystal was characterized using X-ray diffraction and density measurement. Base on the XRD result of Al2O3 crystal, which belongs to the hexagonal system, except for the difference in the relative intensity, present diffraction data which are found to be in good agreement with those of the powder diffraction file (PDF) 43-1484 provided by the JCPDS. It was observed the structure with symmetry group D63d–R3C and has lattice constants being a = 4.759 Å, c = 12.99 Å. The density of the crystals increased with the pull rate. This phenomenon is caused by the speed of the pull rate crystal that causes changes in the heat flow in the furnace and then changed homogeneities of species distribution of atoms along the crystal. © 2015 JNSMR UIN Walisongo. All rights reserved.
Klasifikasi Kasus COVID-19 dan SARS Berbasis Ciri Tekstur Menggunakan Metode Multi-Layer Perceptron Azzahra, Jannatul Firdausa; Sumarti, Heni; Kusuma, Hamdan Hadi
Jurnal Fisika Vol 12, No 1 (2022)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v12i1.35685

Abstract

Corona Virus Disease 2019 (COVID-19) merupakan penyakit infeksi akut yang disebabkan oleh virus corona sebagai sindrom pernafasan akut parah. SARS (Severe Acute Respiratoty Syndrome) merupakan gangguan saluran pernapasan yang disertai gejala saluran perncernaan disebabkan oleh corona virus. Penelitian ini bertujuan untuk membedakan pasien COVID-19 dan SARS berdasarkan ciri tekstur dengan metode Multi-Layer Perceptron (MLP). Metode yang digunakan dalam penelitain ini terdiri dari tiga tahap, tahap pertama adalah pre-processing, tahap kedua adalah ekstraksi ciri tekstur menggunakan histogram dan GLCM (Gray Level Co-occurrence Matrix), dan tahap ketiga adalah klasifikasi data menggunakan metode Multi-Layer Perceptron (MLP). Hasil penelitian menunjukkan bahwa citra pasien SARS memiliki rerata kecerahan lebih tinggi, memiliki kontras lebih tajam, dan tingkat penyebaran data dalam piksel citra rontgen toraks lebih acak dibandingkan dengan citra pasien COVID-19. Metode yang digunakan dalam penelitian ini menghasilkan akurasi, sensitivitas, dan spesifisitas yang sama, yaitu sebesar 91,67%. Penelitian ini menunjukkan bahwa ciri tekstur mampu membedakan citra rontgen toraks pasien COVID-19 dan SARS secara akurat, sehingga dapat menjadi perangkat tambahan untuk memudahkan tenaga kesehatan.
Development of Chobmons Prototype: Cholesterol and Blood Sugar Level Monitoring System Based on Internet of Things (IoT) using Blynk Application Heni Sumarti; Tria Nurmar’atin; Hamdan Hadi Kusuma; Istikomah Istikomah; Irman Said Prastyo
Jurnal Fisika dan Aplikasinya Vol 18, No 3 (2022)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v18i3.12532

Abstract

In the era of the industrial revolution 4.0, we need remote technology and products that d not created new medical waste piles. An unhealthy lifestyle can cause many diseases, either degenerative diseases, namely over rate cholesterol and blood sugar level. High cholesterol and blood sugar levels are causes of major influence on atherosclerosis, stroke, micro-vascular, and cardiovascular complications. We offer a non-invasive cholesterol and blood sugar monitoring device based on red LED and infrared light absorption using the Nellcor DS-100A sensor. This technology can help reduce cumulative medical waste and help health workers to monitor patients remotely. This study used ten random samples to calibrate cholesterol and blood sugar levels. The coefficient of determination values were 0.9580 and 0.9581, respectively, which gave excellent values so that the study is continued by collecting data. Data retrieval use 20 random sample data to measure cholesterol and blood sugar levels, the average accuracy prototype is 90.26% and 91.16%, respectively. It shows great potential in determining estimation value at cholesterol and blood sugar levels. The monitoring system can show the data on the LCD display in Blynk Application with the average time required of 1.07 s.
ANALYSIS OF MOISTURE CONTENT, CALORIFIC VALUE AND BURNING RATE OF CORNCOB AND KAPOK RANDU (Ceiba pentranda) SKIN BRIQUETTE Anshori Huroeroh; Sheilla Rully Anggita; Hamdan Hadi Kusuma
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics | Vol.4
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v4i1.19745

Abstract

Bio charcoal Briquette is a product made from biomass with a carbonization process and compressed with a certain shape. This study aims to examine the calorific value and burning rate of corncob and kapok randu (Ceiba Pentranda) randu (Ceiba pentranda) skin briquettes with variations in the composition of ingredients. The briquette were produced in 5 stages: First, the main material for cobs and kapok randu (Ceiba Pentranda) randu skin is dried in the sun for 3 days so that the weight of the ingredients is reduced by 20%. Second, the carbonization of the main material with a temperature of 400˚C for 60 minutes with a furnace and then materials that has been crushed is sieved with a sieve 50 mesh. Third, compressed briquettes with corncob composition and kapok randu (Ceiba Pentranda) skin in the following ratios of A (100%: 0%), B (75%: 25%), C (50%: 50%), D (25%: 75 %), E (0%: 100%) with 10% w/w tapioca starch as binder. Fourth, the dry the briquette under the sun for 3 days (20 hours) and roasted with a temperature of 100˚C for 60 minutes. Fifth, after dried, the samples were then characterized their moisture content, calorific value, and burning rate. The results show that the highest moisture content value in sample E is 3.3303% and the lowest moisture content in sample B (2.4587%). The highest calorific values are sample E which is 6195.05 Cal / grams. While the lowest calorific value was found in sample D (25% corn cobs and 75% kapok randu (Ceiba Pentranda) skin), which was 3803.96 Cal / grams. The lowest burning rate was found in sample E (100% kapok randu (Ceiba Pentranda) skin) with a value was 0.0448 grams / minute. While the highest burning rate was found in sample D (25% corn cobs and 75% kapok randu (Ceiba Pentranda) skin) with the value was 0.0622 grams/minute.
Tahfizh Al-Qur'an Learning Model in The Bilingual Class System (BCS) of Tahfizh Science Program at MAN 2 Kudus Choeroni Choeroni; Fattah Syukur; Hamdan Hadi Kusuma
Edukasi Islami: Jurnal Pendidikan Islam Vol. 11 No. 01 (2022): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v11i01.2278

Abstract

This article is aimed to investigate Tahfizh al-Qur'an learning model in the Billingual Class System (BCS) of Tahfizh Science Program at MAN 2 Kudus. This study tries to examine Tahfizh al-Qur'an learning model in Madrasah in order to enable it as beneficial as a Tahfizh al-Qur'an learning model for educational institutions which are based on Tahfizh al-Qur'an boarding schools, particularly for State Aliyah Madrasah as well as to give impacts on Development Model of Madrasah grounded in Tahfizh al-Qur'an Pesantren to creat tafaqquh fiddin scholars who are not only capable in the fields of science and technology, but also in the Qur'an memorization. The method used in this research is field research with a qualitative descriptive analysis approach. The results showed that there was an integration between the learning in the tahfizh al-Qur'an boarding school and the learning in the formal Madrasah classes with a regular schedule and with intensive guidance for memorization targets at each level. The study can be concluded that by using the BIHIM HUFADZE model, which stands for guidance (Bimbingan), intensive (Intensif), halaqah (Halaqah), integration (Integrasi), madrasah (Madrasah), memorizing (Hafalan), repeating (Ulang), understanding (Faham), al-Qur'an (Al-Qur’an), recitation (Deresan), and Adding (Ziyadah).
Synthesis and Characterization Membrane Nanofibers Cellulose Acetate-Zeolite for Metal Pb (II) Adsorption Intan Dyah Fulanjari; Ervin Tri Suryandari; Hamdan Hadi Kusuma
Jurnal Kimia Sains dan Aplikasi Vol 27, No 7 (2024): Volume 27 Issue 7 Year 2024
Publisher : Chemistry Department, Faculty of Sciences and Mathematics, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jksa.27.7.344-353

Abstract

Heavy metal waste, such as lead (Pb), released into the environment negatively affects ecosystems and human health due to its toxic properties. Consequently, it is imperative to develop methods to remove Pb from the environment. One widely used method is adsorption. Synthesizing adsorbents via electrospinning offers several advantages: simplicity, the ability to produce nano-sized fibers, lightness, chemical stability, and reusability. This research aims to determine the optimum conditions for synthesizing cellulose acetate (CA) nanofibers modified with zeolite (CA-Zeolite) by electrospinning to characterize them and evaluate their adsorption capacity. The research results showed that the optimum conditions for the synthesis of cellulose acetate nanofibers were a solution concentration of 14% (w/v), a voltage of 10.5 kV, a flow rate of 0.02 mL/hour, and a tip-to-collector distance of 10 cm. The FTIR spectrum of CA-Zeolite revealed a new peak in the 400-610 cm-1 wavelength range, indicative of O-Si-O bonds, characteristic of zeolite functional groups, confirming the successful incorporation of zeolite into the CA nanofibers. From the SEM data, it can be seen that the addition of 6% (w/w) zeolite reduced the average membrane fiber diameter from 662.4 nm to 353.1 nm. EDX results show the presence of Si and Al elements in the CA-Zeolite nanofiber membrane. Incorporating zeolite into CA nanofibers decreased the contact angle from 125.49° to 111.66°, enhancing hydrophilicity. The modified CA nanofibers with 6% (w/v) zeolite demonstrated an adsorption capacity of 1.595 mg/g.
MITIGATING POVERTY: THE CLUSTERING OF POTENTIAL ZAKAT IN INDONESIA Karim, Abdul; Mufakhidin, Ayuf; Kusuma, Hamdan Hadi; Adeni, Adeni; Fitri, Fitri
Analisa: Journal of Social Science and Religion Vol 7, No 1 (2022): Analisa: Journal of Social Science and Religion
Publisher : Balai Penelitian dan Pengembangan Agama Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18784/analisa.v7i1.1641

Abstract

The objective of this study was to examine the fuzzy c-means clustering (FCM) method to establish the optimum cluster accuracy of zakat potential in Indonesia. A spatial mapping approach is also suggested and can be considered as the first step in knowing the distribution of zakat potential in Indonesia. Furthermore, strategies that can be implemented are formulated to increase zakat collection in Indonesia. Potential zakat data from the National Amil Zakat Agency (Baznas) in 2020 consisting of bank deposits, salaries, agricultural products, plantation products, and staple foods. Each province in Indonesia is used as the proposed variable. In this paper, firstly collecting data on indicators of potential zakat. Second, the FCM clustering algorithm. Third, the results of the FCM grouping are visualized in the form of a mapping. This novel mapping study with FCM was applied in order to analyze clustering accuracy. The FCM results confirm 2 optimum clusters for zakat potential in Indonesia where cluster 2 has more members than cluster 1. Besides, the second cluster only has one variable that has a high value, namely agricultural products, while the rest is in the first cluster. This indicates that the first cluster has a higher potential for zakat. The application of fuzzy c-means (FCM) to obtain the optimum cluster on zakat potential to produce a mapping of zakat potential is a novelty in the field of Islamic economic studies. Finally, the results of the analysis with this approach provide optimum results to strengthen the zakat collection strategy in Indonesia.
Development of Non- Invasive Cholesterol Monitoring System Using TCRT5000 Sensor with Android Compatibilty Rahmawati, Tika; Tasyakuranti, Alvania Nabila; Sumarti, Heni; Kusuma, Hamdan Hadi
Jurnal Fisika Vol 13, No 2 (2023)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v13i2.45044

Abstract

High cholesterol levels cause several diseases, such as atherosclerosis (narrowing of the arteries), coronary heart disease, high blood pressure, obesity, thyroid disorders, diabetes mellitus, liver disease, and kidney disease. Generally, such checking is carried out invasively in clinical laboratories or hospitals. The checking can be done individually at a lower cost by using non invasive cholesterol measuring devices. This study aims to design and implement an android-based non-invasive cholesterol monitoring device using the TCRT5000 sensor. The tool developed was tested to measure cholesterol levels in 15 respondents aged 20-30 years. The research procedure consisted of several stages, starting with the design stage of the tool, which was carried out by assembling the components; the second stage was the tool coefficient of determination test, the third stage was the accuracy test, and the last stage was the data transfer speed test. The average accuracy of the tool is 83.18%, and the avarage of delay is 8.8 ms. This tool has considerable potential to be used in a telemedicine system that can be accessed remotely regularly to determine the estimated value of cholesterol levels in the blood.
Altering Coconut Shell Biomass to High-Ordered Graphitic Carbon with Nickel Catalyzation Kumila, Biaunik Niski; Adityaa, Farhan; Destyofrini, Fredina; Sari, Fitri Nur Indah; Pancorowati, Dhita Azzahra; Kusuma, Hamdan Hadi
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 13 No. 2 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v13n2.p119-131

Abstract

Graphite is a carbon-based material potentially utilized in numerous applications, such as electrodes for supercapacitors, lithium-ion batteries, and absorbers for water treatment. Biomass graphite is a beneficial candidate for low-cost yet valuable graphite. In this work, coconut shells, the abundant materials with high carbon contents, were successfully transformed into valuable coconut shell graphite (CSG) using metal catalytic graphitization with nickel as a catalyst at low-temperature conditions of ~1200 °C. Nickel concentration varied between 2 mmol, 3 mmol, and 5 mmol per gram of carbon. The samples were further examined using X-ray diffraction (XRD), Raman Spectroscopy, and Transmission Electron Microscope (TEM). The high graphitization degree of ~ 72 % was confirmed by X-ray diffraction analysis. That was further supported by the high-ordered stacking carbon layer that appeared in HR-TEM images. Meanwhile, Raman spectroscopy confirms that nickel impregnation diminished the structural defect of samples and increased the sp2-carbon bond indicated by its rise of IG/ID. The IG/ID values of CGS and CGS-Ni5mmol are 0.86 and 0.92, respectively.
Co-Authors Adeni Adeni Adeni, Adeni Adina Widi Astuti Adityaa, Farhan Al Afda, Mahrunnisa Alvania Nabila Tasyakuranti Amara Ega Prasheylia Anasom, Anasom Andi Muhammad Yusuf Anshori Huroeroh Arinda Yukashima Putri Prahesti Ayuf Mufakhidin Azizah, Nisa Awaliyah Nur Azzahra, Jannatul Firdausa Baehaqi BELLA JULIA Biaunik Niski Kumila Biaunik Niski Kumila Choeroni Choeroni Destyofrini, Fredina Ervin Tri Suryandari Faqih, Muhammad Izzatul Fariyani, Qisthi Fattah Syukur Fitri Fitri Fitri Fitri Hani Nur Endah Hardiansyah, Angga Hardianto, Firman Hidayat, Saifullah Hudawi, Ahmad Ibrahim, Zuhairi Intan Dyah Fulanjari Intan, Wahyu Noor Isfaul Maulina Istikomah Istikomah Istikomah Jamhari Jamhari Karim, Abdul Kumila, Biaunik Niski Kumila, Biaunik Niski Kustomo Mufakhidin, Ayuf Mujiasih Mujiasih Mulyatun Mulyatun Niam, Muhammad Yusrun Nihlah Zaidah Nisa Awaliyah Nur Azizah Nugroho, Deni Ebit Nur Ahmad, Nur Pancorowati, Dhita Azzahra Pertiwi, Salsabiela Prastyo, Irman Said Rahmani, Tara Puri Ducha Risma Eka Ashari Ashari Sari, Fitri Nur Indah Sheilla Rully Anggita Sheilla Rully Anggita Shofani, Maya Sri Suhandjati Sumarti, Heni Supriyono - Susilawati Susilawati Susilawati Tasyakuranti, Alvania Nabila Tika Rahmawati Tri Suryandari, Ervin Tria Nurmar’atin Ulil Albab Ulya 'Uyun Latifah Watson, Lee James Zuhairi Ibrahim Zulkafli Othaman Zulkafli Othaman